We are offering a one-year "professional track" in MS in Microsystems Engineering. This leads to a graduate degree that will:

(a) provide broad exposure to microsystems and nanosystems engineering principles,
(b) provide hands-on laboratory experience in microfabrication and microelectronics, and
(c) prepare you for the PhD/ENGR degree by allowing you to complete several required courses while earning the MS degree.

The degree would entail no thesis and no research-based practicum, and will require a total of 33 SCH.

It is possible to complete this degree in one year (three quarters plus one summer).  The curriculum is as follows:

A PDF curriculum sheet is available for download here.

Financial Assistance:

Financial assistance in the form of out-of-state tuition waiver may be available to qualified students entering this program. The criteria for being recommended for the out-of-state tuition waiver are:
(a) GRE V+Q score > 1170,
(b) Maintain a cumulative graduate GPA of 3.25, and
(c) Register for 9 SCH each quarter (6 SCH + Graduation in the final quarter).

The waiver is worth $1,450 per quarter, and will be provided for a maximum of four quarters.

How to Apply:

The application procedure is the same as that for other MS programs. The Graduate School application form needs to be filled out with the following degree codes.

The degree codes to be used on the first page are: EM, MMSE, MSEN

Microsystems Courses:
MSE 501: Fundamentals of Microfabrication Processes (Fall)
MSE 502: Microsystems Principles(Winter)
MSE 504: Advanced Materials for Micro/Nano Devices & Systems (Winter)
MSE 505: Nanotechnology Principles (Spring)
MSE 506: Micro/Nano Scale Materials Measurements & Analysis (Spring)
MSE 507: Advanced Microfabrication with Computer-Aided Design (Winter)
MSE 508: Advanced Microelectronics Devices with Computer-Aided Design (Spring)
MSE 510: Microsystems Design, Fabrication, and Testing Laboratory (Summer)
MSE 512: Biotechnology Principles (Fall)

Recommended Mathematics & Statistics Courses:
PHYS 510: Mathematical Methods for Physics (Fall)
ENGR 592: Engineering Computational Methods (Winter)
STAT 505: Statistics for Engineering and Science (Winter)
MATH 574: Numerical Solutions to Partial Differential Equations (Spring)
INEN 514: Industrial Statistics (Winter; also offered off-campus periodically)